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Graff‐Radford, Neill R.

https://orcid.org/0000-0001-9847-9096

Mayo Clinic

Mayo Clinic

Citations 465

Sex‐associated differences in pathology burden in early‐onset Alzheimer’s disease
Groh, Jenna R. , Stage, Eddie, Logan, Paige E. , Aisen, Paul, Eloyan, Ani , Fagan, Anne M. , Foroud, Tatiana M., Gatsonis, Constantine , Kramer, Joel H. , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Rogalskı, Emily , Dickerson, Brad C., Apostolova, Liana G. , Iaccarino, Leonardo , Joie, Renaud La , Jack, Clifford R. , Koeppe, Robert A. , Saykin, Andrew J. , Toga, Arthur W. , Vemuri, Prashanthi , Day, Gregory S. , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Carrillo, María C.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S5 | Pages: No page available

10.1002/alz.046532 Get It

AbstractBackgroundPrevious research has suggested that, compared to males, females are at greater risk for and have greater pathology burden in late onset. However, sex differences in early onset AD (EOAD) have not yet been studied.MethodWe included 167 participants [28 cognitively normal (CN, 68% females), 98 early onset AD (EOAD, 55% females), and 41 cognitively impaired amyloid‐negative (EOnonAD, 31% females] subjects from the Longitudinal Early‐Onset AD Study (LEADS) with available Flortaucipir PET, Florbetaben PET, and MRI data. Multiple linear regression (MLR) models including age and MMSE as covariates were used in the pooled sample to examine the effects of sex on hippocampal and white matter hyperintensity volume, mean cortical thickness, mean tau distribution by Braak regions and mean cortical amyloid SUVR. We also ran voxelwise MLR with sex as the predictor and cortical thickness, amyloid SUVR normalized to whole cerebellum, tau SUVR normalized to cerebellar crus, respectively, as the outcome measures while controlling for age, MMSE, and total intracranial volume (MRI only). Results are displayed at a cluster‐level FWE correction of p<0.05.ResultThere were no significant demographic differences between males and females in any diagnostic group. Across the pooled sample females showed significantly greater atrophy of the hippocampus (p=0.0001), greater tau SUVR in Braak regions 3&4 (p=0.05) and 5&6 (p=0.04) and trend for greater global amyloid uptake (p=0.074) (Table 2). The analyses in imaging space confirmed these findings and showed that the effects are driven by the EOAD group. Females showed greater amyloid deposition globally and greater tau deposition in the frontal, inferior parietal and temporal lobes (Figure 3).ConclusionFemale sex is associated with greater pathology burden in EOAD. Longitudinal studies will be needed to establish whether such difference translates in faster rates of progression in women relative to men.
The evolution of brain atrophy across the disease spectrum of familial frontotemporal dementia
Staffaroni, Adam M. , Goh, Sheng‐Yang Matthew, Ong, Elise, Lee, Suzee E. , Casaletto, Kaitlin B. , Wolf, Amy , Forsberg, Leah K. , Ghoshal, Nupur , Graff‐Radford, Neill R. , Heuer, Hilary W. , Mackenzie, Ian R. , Pedraza, Otto , Rascovsky, Katya, Kramer, Joel H. , Kornak, John , Boxer, Adam L. , Rosen, Howard J. , Cobigo, Yann , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Miller, Bruce L. , Tartaglia, Maria Carmela , Wszołek, Zbigniew K. , Boeve, Bradley F.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S4 | Pages: No page available

10.1002/alz.046404 Get It

AbstractBackgroundFamilial frontotemporal dementia (f‐FTLD) is typically caused by mutations in one of three genes: microtubule‐associated protein tau (MAPT), progranulin (GRN), and a repeat expansion in the chromosome 9 open reading frame 72 (C9orf72) gene. Accurate characterization of the natural history of each mutation is important for clinical prognostication and clinical trial design, and it could shed light on disease biology. Such models have not been thoroughly developed using participants that represent all disease stages, with longitudinal data. We characterized the trajectory of atrophy in each gene by using longitudinal voxel‐wise analyses of gray matter volume, and we assessed whether functional independence declined in tandem.MethodF‐FTLD participants (n=100) with a known mutation (MAPT+ (n=28), GRN+ (n=33), C9orf72+ (n=39)) were grouped according to disease stage (CDR®+NACC FTLD module). We included participants with at least two structural MRIs at a given disease stage: presymptomatic (CDR®+NACC‐FTLD=0, n=57), mild/questionable (CDR®+NACC‐FTLD=0.5, n=15), and symptomatic (CDR®+NACC‐FTLD ≥1, n=28). We fitted longitudinal linear mixed effects models to extract mean atrophy rates in each lobe compared to longitudinal imaging from family members without mutations (n=60). All results presented below were significant at p<.001.ResultUsing the left frontal lobe as an exemplar, in the presymptomatic stage, MAPT mutation carriers showed the greatest rate of atrophy compared to controls (88 mm3/year more volume loss than controls), followed by GRN+ (65 mm3/year) and then C9orf72+ (49 mm3/year). In the mild/questionable stage, MAPT+ showed a greater divergence from controls (374 mm3/year) than did GRN+ (107 mm3/year) or C9orf72+ (223 mm3/year). In the symptomatic stage, MAPT+ again lost volume at the fastest rate (2,099 mm3/year), followed by GRN+ (1,360 mm3/year). C9orf72 expansion carriers showed a much slower rate of volume loss (115 mm3/year). Similar patterns were observed for other brain regions. In contrast to the imaging results, C9orf72+ exhibited similar rates of functional decline compared to GRN+ and MAPT+ at all levels of disease severity.ConclusionThe primary f‐FTLD genes show divergent atrophy trajectories as a function of disease stage, with C9orf72 expansion carriers exhibiting a slow degeneration throughout the disease course, possibly due to unique pathophysiological mechanisms.
Plasma neurofilament light chain levels reflect caregiver burden and social cognition measures in familial frontotemporal lobar degeneration (FTLD)
Heuer, Hilary W. , Toller, Gianina , Rankin, Katherine P. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Brad C., Faber, Kelley , Forsberg, Leah K. , Ghoshal, Nupur , Grant, Ian , Graff‐Radford, Neill R. , Huey, Edward D. , Karydas, Anna M., Kaufer, Daniel , Lagone, Emma, Ljubenkov, Peter A. , Mackenzie, Ian R. , Mendez, Mario F. , Onyike, Chiadi U. , Ramos, Eliana Marisa , Rascovsky, Katya, Weıntraub, Sandra , Rosen, Howard J. , Boxer, Adam L. , Investigators, ARTFL/LEFFTDS, Rojas, Julio C. , Appleby, Brian S. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Kerwin, Diana , Litvan, Irene , Miller, Bruce L. , Roberson, Erik D. , Tartaglia, Maria Carmela , Boeve, Bradley F. , Investigators, ARTFL/LEFFTDS

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S4 | Pages: No page available

10.1002/alz.046247 Get It

AbstractBackgroundPlasma NfL is a sensitive marker of axonal injury that is elevated in symptomatic FTLD and asymptomatic carriers of FTLD‐associated genetic mutations at short‐term risk of phenoconversion to mild behavioral or cognitive impairment or dementia. In carriers of FTLD‐associated genetic mutations, NfL is associated with clinical measures of disease severity.MethodPlasma NfL was measured using single molecule array technology in baseline blood samples from 290 participants in the ARTFL/LEFFTDS consortia. Participants included 181 asymptomatic mutation carriers (C9orf72, GRN, and MAPT); 45 with mild impairment (MBI/MCI), and 64 with dementia. 103 family members without FTLD‐associated mutations served as asymptomatic controls. Social cognition scales were obtained through clinical evaluation at baseline, year 1, and year 2. Stepwise linear regressions assessed NfL relationships with baseline social cognition measures. Linear mixed models were used to test the ability of baseline NfL to predict longitudinal changes. Analyses corrected for age, sex, and genotype.ResultAt baseline, plasma NfL correlated with all measures of social cognition, regardless of genotype. Associations were strongest for the Revised Self‐monitoring Scale (RSMS;β = ‐.50, p < .001), total score of the Social Norms questionnaire (β= .48, p < .001), and caregiver burden (Zarit burden;β = .55, p < .001). Regardless of disease severity, baseline NfL related to worse RSMS scores over time (‐3.7 points at year 2/ LogNfL unit increase, 95% CI ‐1.7 to ‐5.7, p < .001). In MBI/MCI, higher baseline NfL was associated with worse longitudinal scores on the Social Norms questionnaire (‐5.9 points at year 2/LogNfL unit increase, 95% CI ‐1.1 to ‐10.7, p = .016). No associations were seen in asymptomatic non‐carriers.ConclusionIn this familial FTLD cohort, plasma NfL is correlated with clinical measures of social cognition and caregiver burden. Higher baseline plasma NfL concentrations are associated with worsening self‐monitoring and social norms scores over time. These associations suggest that NfL is correlated with clinically meaningful measures that may be relevant to therapeutic development.
Quantitative susceptibility mapping of substantia nigra in dementia with Lewy bodies
Chen, Qin , Przybelski, Scott A. , Lesnick, Timothy G. , Fields, Julie A. , Gunter, Jeffrey L. , Graff‐Radford, Jonathan , Savica, Rodolfo , Graff‐Radford, Neill R., Petersen, Ronald C. , Boeve, Bradley F. , Arani, Arvin , Senjem, Matthew L. , Jack, Clifford R. , Schwarz, Christopher G. , Knopman, David S. , Ferman, Tanis J. , Graff‐Radford, Neill R. , Kantarci, Kejal

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S4 | Pages: No page available

10.1002/alz.046236 Get It

AbstractBackgroundNeurodegeneration of the substantia nigra in dementia with Lewy bodies is associated with iron deposition, which increases the magnetic susceptibility of the substantia nigra on MRI. The objective of this study was to measure the magnetic susceptibility of the substantia nigra in patients with dementia with Lewy bodies (DLB) and patients with mild cognitive impairment with at least one core feature of DLB (MCI‐DLB) compared to cognitively unimpaired controls (CU) by quantitative susceptibility mapping (QSM).MethodWe studied clinically diagnosed patients with DLB (n=36), patients with MCI‐DLB (n=16), and age‐, gender‐matched CU (n=104) in a case‐control study. MR images used for QSM were performed on 3T MRI with a multi‐echo (5 echoes) 3D gradient recalled echo sequence with a bipolar‐readout. Three‐dimensional regions of interest (ROIs) of bilateral substantia nigra, based on the DISTAL atlas, were propagated from the Mayo Clinic Adult Lifespan Template (MCALT) to each subject’s T1 image using ANTs nonlinear registration. The mean susceptibility values of the substantia nigra were extracted by aligning each subjects QSM image to their T1 image and corresponding ROIs with a 6 DOF rigid registration.ResultThe mean susceptibility values of the substantia nigra bilaterally was 0.110 ± 0.026 for DLB, 0.099 ± 0.028 for MCI‐DLB and 0.091 ± 0.025 for controls (Figure 1). No difference was found across the mean susceptibility from left, right and combined bilateral substantia nigra. Compared to controls, patients with DLB had higher susceptibility in the substantia nigra (p<0.001). The susceptibility of substantia nigra showed an increasing trend from controls to MCI‐DLB and to DLB (p<0.001). There was no correlation between the Unified Parkinson's Disease Rating Scale (UPDRS) and the mean susceptibility in the substantia nigra in patients with MCI‐DLB and DLB (r=0.03; p=0.82).ConclusionQuantitative susceptibility mapping is sensitive to the increased magnetic susceptibility due to higher iron content in the substantia nigra in DLB. The trend of increasing susceptibility from CU to MCI‐DLB and to DLB suggests that iron deposition in the substantia nigra starts to increase as early as the prodromal stage in DLB and continues to increase as the disease progresses independent of the severity of Parkinsonism.
Increased white matter MRI T1 hypointensity volume in young‐onset Alzheimer’s disease patients is not accounted for by age or cardiovascular risk factors
Flaherty, Ryn , Ezzo, Rania , Collins, Jessica A. , Krivensky, Samantha, Eckbo, Ryan, Borowski, Bret, Bourakova, Viktoriya, Eloyan, Ani , Aisen, Paul, Fagan, Anne M. , Gatsonis, Constantine , Kramer, Joel H. , Toga, Arthur W. , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Rogalskı, Emily , Salloway, Stephen , Apostolova, Liana G. , Dickerson, Brad C., Vemuri, Prashanthi , Iaccarino, Leonardo , Joie, Renaud La , Lesman‐Segev, Orit H. , Foroud, Tatiana , Jack, Clifford R. , Koeppe, Robert A. , Saykin, Andrew J. , Day, Gregory S. , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Wolk, David A. , Wingo, Thomas S , Carrillo, María C. , Rabinovici, Gil D.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S4 | Pages: No page available

10.1002/alz.045577 Get It

AbstractBackgroundWhite matter (WM) hypointensity volume in T1 MRI correlates strongly with T2 hyperintensities and both are typically associated with advancing age and vascular brain injury (VBI). Recent research has suggested that Alzheimer’s Disease (AD) neuropathologic changes (ADNC) also increases WM hypointensity volume. Sporadic early onset AD (EOAD) patients provide a unique model to examine the relationship between ADNC biomarkers and WM hypointensity volume in the absence of advanced age, cardiovascular injury, or autosomal dominant genetic mutations.MethodIncluded in the analysis were sporadic EOAD patients (n = 75) and cognitively normal controls (n = 39) from the Longitudinal Alzheimer’s Disease Study (LEADS) for whom full demographic and health information were available. WM hypointensity volume in T1 MRI was segmented by Freesurfer and corrected for total white matter volume. Multiple‐factor ANOVA models with logarithmic transformations were used to determine the effects of age, cohort, and presence of cardiovascular conditions on WM hypointensity volume. Further multiple‐factor ANOVA models assessed whether the addition of covariates improved the model fit.ResultIn a reproduction of prior research, WM hypointensity volume was correlated with age for controls (p < 0.05), but not for EOAD patients. We additionally found an effect of cohort, such that EOAD patients had a higher mean WM hypointensity volume than controls when accounting for age (p < 0.05). No difference in the presence or number of cardiovascular conditions was found between groups. Additionally, no correlation was found between WM hypointensity volume and the presence or number of cardiovascular conditions. Including cardiovascular condition as a covariate failed to improve the model fit, even when accounting for interaction effects.ConclusionThese results support the hypothesis that patients with ADNC have higher WM hypointensity volume beyond what would be expected based on aging or cardiovascular risk factors. Further research is needed to assess the co‐localization of WM hypointensities with cortical degradation, amyloid pathology, and tau pathology.
Neuroimaging and neuropsychological findings in MAPT N279K mutation phenoconverters
Forsberg, Leah K. , Fields, Julie A. , Brushaber, Danielle , Chen, Qin , Gavrilova, Ralitza H. , Graff‐Radford, Jonathan , Graff‐Radford, Neill R., Petersen, Ronald C. , Savica, Rodolfo , Syrjanen, Jeremy A. , Rademakers, Rosa , Kantarci, Kejal , Senjem, Matthew L. , Jack, Clifford R. , Graff‐Radford, Neill R. , Jones, David T. , Knopman, David S. , Kremers, Walter K. , Wszołek, Zbigniew K. , Boeve, Bradley F.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.046759 Get It

AbstractBackgroundCharacterization of the changes that occur throughout the transition from asymptomatic to symptomatic for those with familial frontotemporal dementia is essential for planning future disease‐modifying trials.MethodWe identified four related microtubule associated protein tau (MAPT) N279K mutation carriers who have phenoconverted from the asymptomatic to the symptomatic state. Key features were as follows: Case 1 (female) initial exam age 36, onset age 44, current age 49; Case 2 (male) initial exam age 39, onset age 43, current age 48; Case 3 (female) initial exam age 41, onset age 47, current age 53; Case 4 (male) initial exam age 36, onset age 37, current age 46. MRI and neuropsychological data were analyzed.ResultStructural MRI was analyzed using Tensor Based Morphometry Symmetric Diffeomorphic Image Normalization (TBM‐SyN) methodology to quantify lobar volumes, which was then analyzed using a Mixed Effects Model to determine the annual change in lobar volumes. The phenoconverters had a greater estimated annual rate of cortical atrophy in temporal (p <0.001), frontal (p <0.01) and parietal (p <0.05) lobes compared to non‐carriers, with the rate of annual change in symptomatic individuals double that of asymptomatic individuals. Annual change in the parietal and occipital lobes was also analyzed and found to be similar to healthy controls of a similar age. Raw scores on neuropsychological measures were converted to z‐scores for analysis. Category fluency, letter fluency, and Trails A and B were all impaired (z‐score <‐1.5) following phenoconversion, but performance on these and other measures was variable across these four in the late asymptomatic state.ConclusionFor each of the four phenoconverters, structural MRI changes preceded symptom onset, whereas neuropsychological performance was more variable and occurred in closer proximity to the time of phenoconversion. Decrements in verbal fluency and cognitive flexibility were observed earlier than other cognitive domains. These findings suggest that changes in frontal and temporal volume on MRI precede symptom onset, with regional brain volumes most consistently tracking the evolution from the asymptomatic to symptomatic state in N279K MAPT mutation carriers. Supported by: AG063911, AG045390, NS092089, AG016976, AG016574, AG062677.
Neuropsychiatric abnormalities in familial frontotemporal dementia: Findings from the LEFFTDS Cohort
Forsberg, Leah K. , Rosen, Howard J. , Boxer, Adam L. , Syrjanen, Jeremy A. , Brushaber, Danielle , Coppolla, Giovanni, Dickerson, Brad C., Fields, Julie A. , Gavrilova, Ralitza H. , Ghoshal, Nupur , Graff‐Radford, Jonathan, Graff‐Radford, Neill R. , Heuer, Hilary W. , Huey, Edward D. , Karydas, Anna M., Kornak, John , Kramer, Joel H. , Ljubenkov, Peter A. , Mackenzie, Ian R. , McGinnis, Scott, Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Sturm, Virginia E. , Staffaroni, Adam M. , Taylor, Joanne, Boeve, Bradley F. , Fong, Jamie , Goldman, Jill , Graff‐Radford, Jonathan , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Irwin, David J. , Jones, David T. , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Kukull, Walter A. , Miller, Bruce L. , Wong, Bonnie , Wszołek, Zbigniew K.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.045505 Get It

AbstractBackgroundThe LEFFTDS Consortium involves investigators at 8 centers in North America evaluating individuals in kindreds with mutations in microtubule associated protein tau (MAPT), progranulin (GRN), or chromosome 9 open reading frame 72 (C9orf72) genes using a standardized battery of measures. Participants are evaluated annually. We sought to determine possible correlations between FTLD disease progression and neuropsychiatric features.MethodThe Neuropsychiatric Inventory Questionnaire (NPI‐Q) scale is an informant‐based instrument that measures the presence and severity of 12 neuropsychiatric features in patients with dementia. The NPI‐Q was completed at each LEFFTDS visit. The individual NPI questions and total score were analyzed in those with CDR® Dementia Staging Instrument PLUS National Alzheimer Coordinating Center Frontotemporal Lobar Degeneration (CDR®+ NACC FTLD) ratings of 0 (i.e., clinically normal), 0.5 (i.e., questionably/minimally abnormal), 1, 2, and 3.ResultThe 472 participants enrolled to date with a baseline (Visit 1) assessment have the following characteristics: 261 (55.5%) female, mean age 48 (range 18‐80) years, mean education 16 (range 11‐22) years, and 275 participants with a CDR®+NACC FTLD=0 (58%) and known genetic status. Participants with a CDR®+NACC FTLD=0 plus a genetic mutation were compared to those without a mutation and found to have increased severity of apathy (mean score of 0.116 versus 0.035, p=0.0302). Regardless of the specific mutation, those with a CDR®+NACC FTLD=0.5 were reported to have increased severity of apathy, disinhibition, and irritability. For most domains, mean NPI‐Q severity scores increase between groups up to CDR®+NACC FTLD=2. Depression increases in severity up to CDR®+NACC FTLD=1, whereas apathy severity continues to increase with increasing disease severity through CDR®+NACC FTLD=3. Twenty participants converted from CDR®+NACC FTLD 0 to >0 between their baseline and most recent visit; apathy severity almost tripled in these participants. For those that converted, disinhibition, irritability, and NPI total score were different between baseline and most recent visit (Wilcoxon signed rank test, p<0.05).ConclusionKey neuropsychiatric features measured by the NPI‐Q demonstrate differences in apathy severity between clinically normal mutation vs non‐mutation carriers. Key domains differ at different levels of FTLD severity and show dynamic changes with increasing level of FTLD severity. Supported by AG063911, AG045390, NS092089, AG016976.
Studying the natural history of frontotemporal lobar degeneration (FTLD): The ARTFL LEFFTDS longitudinal FTLD (ALLFTD) protocol
Boxer, Adam L. , Rosen, Howard J. , Forsberg, Leah K. , Heuer, Hilary W. , Brushaber, Danielle , Bordelon, Yvette , Dickerson, Brad C., Faber, Kelley , Fagan, Anne M. , Fields, Julie A. , Fishman, Ann, Galasko, Doug, Gavrilova, Ralitza H. , Geschwind, Daniel H. , Ghoshal, Nupur , Graff‐Radford, Jonathan, Graff‐Radford, Neill R. , Grant, Ian , Huey, Edward D. , Karydas, Anna M., Kaufer, Daniel , Kramer, Joel H. , Kornak, John , Lagone, Emma, Ljubenkov, Peter A. , Lucente, Diane , Mackenzie, Ian R. , Manoochehri, Masood , Masdeu, Joseph C. , McGinnis, Scott, Mendez, Mario F. , Miyagawa, Toji , Nelson, Kevin M., Onyike, Chiadi U. , Pantelyat, Alex, Pearlman, Rodney , Petrucelli, Leonard , Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Ritter, Aaron, Salmon, David P. , Savica, Rodolfo , Staffaroni, Adam M. , Syrjanen, Jeremy A. , Tatton, Nadine , Taylor, Joanne, Weıntraub, Sandra , Wheaton, Diana, Boeve, Bradley F. , Appleby, Brian S. , Biernacka, Joanna M. , Botha, Hugo , Brannelly, Patrick , Dickson, Dennis W. , Domoto‐Reilly, Kimiko , Foroud, Tatiana , Gendron, Tania F. , Goldman, Jill , Graff‐Radford, Jonathan , Grossman, Murray , Hsiung, Ging‐Yuek Robin , Huang, Eric J. , Irwin, David J. , Jones, David T. , Kantarci, Kejal , Knopman, David S. , Kremers, Walter K. , Kukull, Walter A. , Léger, Gabriel C. , Litvan, Irene , Masdeu, Joseph C , Miller, Bruce L. , Pascual, Belén , Rexach, Jessica E. , Roberson, Erik D. , Rojas, Julio C. , Sabbagh, Marwan Noel , Seeley, William W. , Tartaglia, Maria Carmela , Toga, Arthur W. , Wong, Bonnie , Wszołek, Zbigniew K.

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S6 | Pages: No page available

10.1002/alz.045482 Get It

AbstractBackgroundIt is important to determine the natural history of sporadic and familial frontotemporal lobar degeneration (FTLD) and generate clinical, neuropsychological, neuroimaging and biofluid data for planning disease‐modifying trials.MethodAs part of the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD; U19 AG063911) protocol, investigators at 19 centers in North America will enroll 2100 participants with FTLD over the next 5 years beginning in early 2020.ResultAs of 1/20/20, the ARTFL/LEFFTDS (A/L) Consortium had enrolled 1832 participants, including 850 in kindreds with familial FTLD (239 associated with mutations in MAPT, 192 in GRN, 370 in C9orf72, 4 with mutations in both GRN and C9orf72, and 45 with a mutation in a different gene or no mutation in any known FTLD‐associated gene). Over 500 participants have undergone 2 or more annual visits to date. MRI has been performed in 1105. Biofluid samples have also been collected, with blood (DNA, plasma, serum, mRNA, PBMC) in 1413 and CSF in 303. Over 60 manuscripts using A/L data or samples have been published to date. Five clinical trials involving A/L and ALLFTD participants are in progress or planned. The longitudinal arm in ALLFTD will enroll 500 of existing A/L and 600 future participants for annual assessments with similar methodology to A/L. An additional 1000 FTLD patients will undergo focused one‐time clinical evaluations and biofluid collection.ConclusionThe data/samples from already‐enrolled and planned participants in ALLFTD and findings published to date underscore the utility of evaluating FTLD subjects. The absence of identifiable mutations in some with familial FTLD suggests that other genes are yet to be discovered. ALLFTD data will inform clinical trial design, and many participants will be eligible for future trials. The key data and samples in ALLFTD are available to interested investigators worldwide. Supported by: AG063911, AG045390, NS092089, AG016976, AG21886.